Research Assistant
• Compared effectiveness of autoencoders, VAE, and GAN on diabetes prediction data; optimized accuracy of compression-reconstruction data within 2.5% from raw data.• Implemented YOLOv5 and v7 for comparative analysis in detecting blooming orchids in images.• Applied advanced data pre-processing techniques to cybersecurity programming competition data from NHANES, ensuring data integrity and confidentiality.• Conducted comparative analysis on topics regarding federated learning in cybersecurity through implementing and optimizing pseudo-code from different research papers to assess performance against existing models.